About
Dr. Nathan J. McNeese is the McQueen Quattlebaum Endowed Associate Professor of Human-Centered Computing, the Founding Director of the Clemson University Center for Human-AI Interaction, Collaboration, & Teaming, and the Founding Director of the Team Research Analytics in Computational Environments (TRACE) Research Group in the School of Computing at Clemson University. Dr. McNeese held the College of Engineering, Computing and Applied Sciences Dean's Professorship at Clemson prior to his current endowed appointment. He received a PhD in Information Sciences & Technology from The Pennsylvania State University. His area of expertise is in human-autonomy/AI teaming and human-centered AI. For over a decade, Dr. McNeese has helped to pioneer the field of human-autonomy/AI teaming. Dr. McNeese has been a principal investigator or co-principal investigator for more than 30 research grants and awards, generating more than $40 million in funding. In 2023, he received the prestigious NSF CAREER Award. He is a National Academy of Science, Engineering, and Medicine (NASEM) board member on the Board of Human Systems Integration (BOSHI). He is also the recipient of the Clemson University Researcher of the Year, the HFES William C. Howell Young Investigator Award, and The Pennsylvania State University College of Information Sciences & Technology Overall Outstanding Alumni Award among additional significant honors. His research has received multiple best paper awards/nominations (9 total) and has been published in top peer-reviewed human-computer interaction and human factors venues over 175 times.
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How their research is transforming health care
Nathan McNeese’s research seeks to better understand teamwork in health care domains through studying health care teams in context and then developing human-centered collaborative technologies to support specific teamwork activities. He is particularly interested in studying the concepts of team cognition, artificial intelligence, and collaborative technology design and development.
Health Research Expertise Keywords
Faculty Scholar, Human-autonomy, AI teaming, teamwork, collaborative technology, human computer interaction, human factors, computer supported cooperative work, artificial intelligence
